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ccss: Cluster Circular Systematic Sampling

Draws systematic samples from a population that follows linear trend. The function returns a matrix comprising of the required samples as its column vectors. The samples produced are highly efficient and the inter sampling variance is minimum. The scheme will be useful in various field like Bioinformatics where the samples are expensive and must be precise in reflecting the population by possessing least sampling variance.

Version: 1.0
Depends: graphics, grDevices, stats, utils, R (≥ 2.10)
Published: 2019-11-04
Author: Abhibhav Sharma
Maintainer: Abhibhav Sharma <mail.abhibhav at gmail.com>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: ccss results

Documentation:

Reference manual: ccss.pdf

Downloads:

Package source: ccss_1.0.tar.gz
Windows binaries: r-devel: ccss_1.0.zip, r-release: ccss_1.0.zip, r-oldrel: ccss_1.0.zip
macOS binaries: r-release (arm64): ccss_1.0.tgz, r-oldrel (arm64): ccss_1.0.tgz, r-release (x86_64): ccss_1.0.tgz, r-oldrel (x86_64): ccss_1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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